Identify Condition Indicators

Explore data at the command line or in the app to identify features that
can indicate system state or predict future states

A condition indicator is a feature of system data
whose behavior changes in a predictable way as the system degrades or
operates in different operational modes. A condition indicator can be any
feature that is useful for distinguishing normal from faulty operation or
for predicting remaining useful life. A useful condition indicator clusters
similar system status together, and sets different status apart.

You can derive condition indicators from signal analysis, by extracting
time-domain or frequency-domain features of system data. You can also derive
condition indicators by fitting static or dynamic models to your data, and
examining model parameters or model behavior to distinguish fault states or
predict system degradation. For more information, see
Condition Indicators for Monitoring, Fault Detection, and Prediction.

A model-based condition indicator is a quantity derived from fitting system
data to a model and performing further processing using the model. The condition
indicator captures some feature of the model that changes as system performance
degrades.